These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
23. On the problem in model selection of neural network regression in overrealizable scenario. Hagiwara K Neural Comput; 2002 Aug; 14(8):1979-2002. PubMed ID: 12180410 [TBL] [Abstract][Full Text] [Related]
24. An on-line modified least-mean-square algorithm for training neurofuzzy controllers. Tan WW ISA Trans; 2007 Apr; 46(2):181-8. PubMed ID: 17337268 [TBL] [Abstract][Full Text] [Related]
25. Principal component extraction using recursive least squares learning. Bannour S; Azimi-Sadjadi MR IEEE Trans Neural Netw; 1995; 6(2):457-69. PubMed ID: 18263327 [TBL] [Abstract][Full Text] [Related]
26. Convergence and objective functions of some fault/noise-injection-based online learning algorithms for RBF networks. Ho KI; Leung CS; Sum J IEEE Trans Neural Netw; 2010 Jun; 21(6):938-47. PubMed ID: 20388593 [TBL] [Abstract][Full Text] [Related]
27. Recursive least-squares backpropagation algorithm for stop-and-go decision-directed blind equalization. Abrar S; Zerguine A; Bettayeb M IEEE Trans Neural Netw; 2002; 13(6):1472-81. PubMed ID: 18244542 [TBL] [Abstract][Full Text] [Related]
28. Neural networks for feedback feedforward nonlinear control systems. Parisini T; Zoppoli R IEEE Trans Neural Netw; 1994; 5(3):436-49. PubMed ID: 18267810 [TBL] [Abstract][Full Text] [Related]
29. An adaptive regularized recursive displacement estimation algorithm. Efstratiadis SN; Katsaggelos AK IEEE Trans Image Process; 1993; 2(3):341-52. PubMed ID: 18296222 [TBL] [Abstract][Full Text] [Related]
30. Model complexity control for regression using VC generalization bounds. Cherkassky V; Shao X; Mulier FM; Vapnik VN IEEE Trans Neural Netw; 1999; 10(5):1075-89. PubMed ID: 18252610 [TBL] [Abstract][Full Text] [Related]
31. A local linearized least squares algorithm for training feedforward neural networks. Stan O; Kamen E IEEE Trans Neural Netw; 2000; 11(2):487-95. PubMed ID: 18249777 [TBL] [Abstract][Full Text] [Related]
32. Functional approximation by feed-forward networks: a least-squares approach to generalization. Webb AR IEEE Trans Neural Netw; 1994; 5(3):363-71. PubMed ID: 18267804 [TBL] [Abstract][Full Text] [Related]
33. Combination of artificial neural-network forecasters for prediction of natural gas consumption. Khotanzad A; Elragal H; Lu TL IEEE Trans Neural Netw; 2000; 11(2):464-73. PubMed ID: 18249775 [TBL] [Abstract][Full Text] [Related]
34. Simultaneous fitting of a potential-energy surface and its corresponding force fields using feedforward neural networks. Pukrittayakamee A; Malshe M; Hagan M; Raff LM; Narulkar R; Bukkapatnum S; Komanduri R J Chem Phys; 2009 Apr; 130(13):134101. PubMed ID: 19355711 [TBL] [Abstract][Full Text] [Related]
35. Uniformly stable backpropagation algorithm to train a feedforward neural network. Rubio Jde J; Angelov P; Pacheco J IEEE Trans Neural Netw; 2011 Mar; 22(3):356-66. PubMed ID: 21193374 [TBL] [Abstract][Full Text] [Related]
36. Family study of restless legs syndrome in Quebec, Canada: clinical characterization of 671 familial cases. Xiong L; Montplaisir J; Desautels A; Barhdadi A; Turecki G; Levchenko A; Thibodeau P; Dubé MP; Gaspar C; Rouleau GA Arch Neurol; 2010 May; 67(5):617-22. PubMed ID: 20457962 [TBL] [Abstract][Full Text] [Related]
37. Curvature-driven smoothing: a learning algorithm for feedforward networks. Bishop CM IEEE Trans Neural Netw; 1993; 4(5):882-4. PubMed ID: 18276518 [TBL] [Abstract][Full Text] [Related]
38. RBF networks under the concurrent fault situation. Leung CS; Sum JP IEEE Trans Neural Netw Learn Syst; 2012 Jul; 23(7):1148-55. PubMed ID: 24807140 [TBL] [Abstract][Full Text] [Related]
39. Evaluation of convolutional neural networks for visual recognition. Nebauer C IEEE Trans Neural Netw; 1998; 9(4):685-96. PubMed ID: 18252491 [TBL] [Abstract][Full Text] [Related]
40. Heuristic extraction of rules in pruned artificial neural networks models used for quantifying highly overlapping chromatographic peaks. Hervás C; Silva M; Serrano JM; Orejuela E J Chem Inf Comput Sci; 2004; 44(5):1576-84. PubMed ID: 15446815 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]